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Whether people feel that unikernels are wrong-headed and are looking for supporting detail or are unikernel proponents and want to know what the counter-arguments could possibly be, there is clearly a desire to hear the arguments against running unikernels in production.

An unlikely pairing: Microsoft's CoreCLR and ASP.NET framework meet Joyent's secure bare-metal container hypervisor and debugging toolkit. See how you can leverage secure Linux containers in Triton to run CoreCLR apps in the cloud with bare metal performance.

At the beginning of the year, I laid down a few predictions. While I refuse on principle to engage in Stephen O'Grady-style self-flagellation, I do think it's worth revisiting the headliner prediction, namely that 2015 is the year of the container.

Joyent has been running Node.js in production and at scale for over 5 years. As such, we've learned production practices for designing, deploying and debugging Node.js apps and we've built container-native solutions to optimize app performance, security, and management. Experience the container-native difference!

This post demonstrates how you can deploy and scale a Node.js application backed by Couchbase and load balanced with Nginx. All the components are running in multiple Docker containers on Triton, and use Containerbuddy to automate discovery and configuration. We're using Docker Compose to deploy the application and scale it across the data center on Triton.

In a container-native project, we need to balance the desire for ephemeral infrastructure with the requirement to provide a predictable load-balanced interface with the outside world. By updating DNS records for a domain based on changes in the discovery service, we can make sure our users can reach the load-balancer for our project at all times.

Containerbuddy simplifies service discovery in Docker and provides a workaround for applications not designed from the start for container-native discovery. Here I demonstrate how to make Nginx container-native with Containerbuddy.

Common patterns for microservice container deployments carry hidden assumptions that increase operational costs and put availability at risk. Let's break down the reasons why and how to build discovery for a container-native world.

In the same way that Docker has proven to be an outstanding way to package applications from development to deploy, Mesos is becoming the de facto standard for scheduling those Dockerized applications.

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